Sentence examples for visualization problems from inspiring English sources

This in part provides an explanation as to why the benefit of gestures persisted even in subsequent spatial visualization problems in which gesture was prohibited.

For visualization problems discussed in this work, it is critical to understand the issues related to human perception and limited cognition.

Rational interpolants are often used in data visualization problems due to their excellent asymptotic properties, capability to model complicated smooth structures, better interpolation properties, and excellent extrapolating powers.

In particular, a tree structure called contour tree[1] serves as an effective tool for encoding topological changes in the inverse image according to the scalar function value changes, and thus has been employed in many visualization problems.

The distinctive features of the methods implemented are ontology-based automated adaptation to third-party data sources from various application domains and to specifics of the visualization problems as well as multiplatform portability of the software solution.

In a series of experiments with allowed-to-gesture and prohibited-to-gesture groups of young adults, Chu and Kita (2011) found that people who have difficulty in solving spatial visualization problems spontaneously produce gestures to help them, and that the use of gestures is related to improved performance.

So, the visualization problem was availably resolved, as well as the professional analytical ability was improved.

Consequently, we investigate the use of a local search technique for the data visualization problem.

We formulate this visualization problem as a Mixed Integer Linear Programming (MILP) model.

Tasked with solving this visualization problem will be 120 experts in academia, government labs, and industry connected in an electronic network.

In this paper, we propose a discretization of the data visualization problem that allows us to formulate it as a quadratic assignment problem.